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Towards bandwidth efficient edge–cloud collaborative deep learning with Data Importance driven Compression

delete2025-07-03
delete0
PRE
AI
Y
Yalin Jiang
P
Peng Zhao
C
Cong Zhao
J
Jie Lin
DOI：10.1016/j.neucom.2025.130835delete
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摘要

摘要

En 中文
• 能够保留分类信息的自编码器可以更好地恢复训练样本。 • 数据的贡献度决定了压缩程度。 • 边缘-云协作框架平衡了带宽消耗和分类精度。

期刊

Neurocomputing 封面图
Neurocomputing
IF:
6.5
论文数:
2.5W
被引数:
6.5W

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